xLiMe

xLiMe – crossLingual crossMedia knowledge extraction

 Coordinatore Karlsruher Institut fuer Technologie 

 Organization address address: KIT-Campus Sued, Institute AIFB, Building 11.40 12
city: Karlsruhe
postcode: 76131

contact info
Titolo: Mrs.
Nome: Anja
Cognome: Hess
Email: send email
Telefono: +49 721 608 43705
Fax: +49 721 608 46580

 Nazionalità Coordinatore Germany [DE]
 Totale costo 3˙897˙357 €
 EC contributo 2˙987˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2013-10
 Funding Scheme CP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-11-01   -   2016-10-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    Karlsruher Institut fuer Technologie

 Organization address address: KIT-Campus Sued, Institute AIFB, Building 11.40 12
city: Karlsruhe
postcode: 76131

contact info
Titolo: Mrs.
Nome: Anja
Cognome: Hess
Email: send email
Telefono: +49 721 608 43705
Fax: +49 721 608 46580

DE (Karlsruhe) coordinator 0.00
2    ECONDA GMBH

 Organization address address: EISENLOHRSTRASSE 43
city: KARLSRUHE
postcode: 76135

contact info
Nome: Antje
Cognome: Siebarth
Email: send email
Telefono: +49 721 663035461
Fax: +49 721 66303510

DE (KARLSRUHE) participant 0.00
3    INSTITUT JOZEF STEFAN

 Organization address address: Jamova 39
city: LJUBLJANA
postcode: 1000

contact info
Titolo: Prof.
Nome: Jadran
Cognome: Lenar?i?
Email: send email
Telefono: +386 1 4773513
Fax: +386 1 2519385

SI (LJUBLJANA) participant 0.00
4    INTELLIGENT SOFTWARE COMPONENTS S.A.

 Organization address address: AVENIDA TORRE BLANCA 57 3C15
city: SANT CUGAT DEL VALLES
postcode: 8172

contact info
Titolo: Mr.
Nome: Francesc
Cognome: Caballero Sánchez
Email: send email
Telefono: 34935677249

ES (SANT CUGAT DEL VALLES) participant 0.00
5    UNIVERSITA DEGLI STUDI DI TRENTO

 Organization address address: VIA CALEPINA 14
city: TRENTO
postcode: 38122

contact info
Titolo: Ms.
Nome: Mirella
Cognome: Collini
Email: send email
Telefono: +39 0461 281634
Fax: +39 0461 281699

IT (TRENTO) participant 0.00
6    VICO RESEARCH & CONSULTING GMBH

 Organization address address: FRIEDRICH LIST STRASSE 46
city: LEINFELDEN ECHTERDINGEN
postcode: 70771

contact info
Titolo: Mrs.
Nome: Yuliya
Cognome: Mossiyevskikh
Email: send email
Telefono: +49 711 78 78 29 0
Fax: +49 711 78 78 29 10

DE (LEINFELDEN ECHTERDINGEN) participant 0.00
7    Zattoo Deutschland GmbH

 Organization address address: WARSCHAUER STR 70
city: BERLIN
postcode: 10243

contact info
Titolo: Mr.
Nome: Joerg
Cognome: Schindler
Email: send email
Telefono: +41 43 500 21 00
Fax: +41 43 500 21 11

DE (BERLIN) participant 0.00
8    ZATTOO EUROPA AG

 Organization address address: EGGBUHLSTRASSE 28
city: ZURICH
postcode: 8050

contact info
Titolo: Ms.
Nome: Bea
Cognome: Knecht
Email: send email
Telefono: +41 43 500 21 21
Fax: +41 43 500 21 11

CH (ZURICH) participant 0.00

Mappa


 Word cloud

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xlime    content    brands    bases    diffusion    time    languages    channels    lingual    cross    near    social    real    media    opinions    machine   

 Obiettivo del progetto (Objective)

Europe is different from other large media markets such as the US or China in that information is being generated in different languages and distributed via diverse streams of localised media channels. Automatic analysis is complicated further by different content types (audio, video, text) and different channels (mainstream, social media). Thus, information can only be analysed independently for each dimension. This restricts the extractable knowledge and keeps it fragmented, which ultimately constrains the exchange of information.

xLiMe proposes to extract knowledge from different media channels and languages and relate it to cross-lingual, cross-media knowledge bases. By doing this in near real-time we will provide a continuously updated and comprehensive view on knowledge diffusion across media, e.g., from European communities like Catalonia to worldwide content in English.

Tools and methods developed in xLiMe will be applied in three complementary case studies and evaluated by several business clients and up to 10mio end users . We will1.taugment more than 250 TV channels in different languages with up-to-date information from social media and news in near real-time,2.tmonitor brands and the diffusion of opinions across languages and media, and3.tanalyse online shop performance with regard to external cross-lingual, cross-media factors, like campaigns for brands and the emergence of public opinions.By combining speech recognition, natural language processing, machine learning and semantic technologies we will advance key open research problems, by1.textracting machine-readable knowledge (entities, sentiment, events and opinions) from multilingual, multimedia and social media content and integrate it with cross-lingual, cross-media knowledge bases,2.tsearching this knowledge with structured and unstructured queries in near real-time,3.tmonitoring its provenance, consumption and diffusion and4.tanalysing the interdependency between media exposure and behavioural patterns.

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